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api-ng-sample-code

Code snippets in various languages to support API-NG client development

betfair-api

Automatically exported from code.google.com/p/betfair-api

betfair.py

A Python wrapper for the Betfair API

betting-ai

Automatically exported from code.google.com/p/betting-ai

cxf

Mirror of Apache CXF

dk-maven-repo

Maven Repository

football-data-api

A wrapper for http://api.football-data.org/ rest api for football data in python

footballmatchesdataset

hspredictor

Haskell clone of BetBoy

ipython-soccer-predictions

Sample iPython notebook with soccer predictions

marcotti-desktop

Marcotti-Desktop: Football Match Result Database and desktop data-entry application

ml

Code I wrote in order to illustrate Machine Learning Algorithms using input features in mostly 2 dimensional space (could easily be extended to any number of dimensions, its just the visualization that becomes harder which is why I didn't go beyond 2). The code is intended to make developers understand how learners based on Neural Networks, Bayesian learning, Decision Trees and Nearest Neighbor algorithms actually work.

scxml-betting-engine

Automatically exported from code.google.com/p/scxml-betting-engine

soccer-schedule-macro

Macro for creating a soccer schedule in Excel.

taketrung.github.io

Hello World

travis-sample